{"id":"https://openalex.org/W7137943519","doi":"https://doi.org/10.48550/arxiv.2603.14576","title":"IQP Born Machines under Data-dependent and Agnostic Initialization Strategies","display_name":"IQP Born Machines under Data-dependent and Agnostic Initialization Strategies","publication_year":2026,"publication_date":"2026-03-15","ids":{"openalex":"https://openalex.org/W7137943519","doi":"https://doi.org/10.48550/arxiv.2603.14576"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.14576","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14576","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.14576","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085844215","display_name":"Sacha Lerch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lerch, Sacha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129645093","display_name":"Joseph Bowles","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bowles, Joseph","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129697052","display_name":"Ricard Puig","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Puig, Ricard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129671454","display_name":"Erik Armengol","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Armengol, Erik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129653385","display_name":"Zo\u00eb Holmes","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holmes, Zo\u00eb","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068470039","display_name":"Supanut Thanasilp","orcid":"https://orcid.org/0000-0002-8252-4056"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thanasilp, Supanut","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.01360000018030405,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10020","display_name":"Quantum Information and Cryptography","score":0.006300000008195639,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8396000266075134},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5389999747276306},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5139999985694885},{"id":"https://openalex.org/keywords/qubit","display_name":"Qubit","score":0.5128999948501587},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48980000615119934},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4830000102519989},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.3991999924182892},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.36000001430511475},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.3434000015258789}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8396000266075134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5694000124931335},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5389999747276306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5242000222206116},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.5128999948501587},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48980000615119934},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4830000102519989},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4708000123500824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4016000032424927},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.36000001430511475},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.31949999928474426},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.31790000200271606},{"id":"https://openalex.org/C201866948","wikidata":"https://www.wikidata.org/wiki/Q228206","display_name":"Random number generation","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.29330000281333923},{"id":"https://openalex.org/C122203268","wikidata":"https://www.wikidata.org/wiki/Q5862903","display_name":"Probability theory","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C60782215","wikidata":"https://www.wikidata.org/wiki/Q3333679","display_name":"Probabilistic method","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.14576","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14576","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.14576","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.14576","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Quantum":[0],"circuit":[1],"Born":[2],"machines":[3],"based":[4],"on":[5,38,57,95,146],"instantaneous":[6],"quantum":[7,15,176],"polynomial-time":[8],"(IQP)":[9],"circuits":[10,142],"are":[11],"natural":[12],"candidates":[13],"for":[14,83,99,172],"generative":[16],"modeling,":[17],"both":[18],"because":[19,25],"of":[20,55,87,141,165],"their":[21],"probabilistic":[22],"structure":[23],"and":[24,101,128],"IQP":[26,88],"sampling":[27],"is":[28,114,159],"provably":[29],"classically":[30],"hard":[31],"in":[32,175],"certain":[33],"regimes.":[34],"Recent":[35],"proposals":[36],"focus":[37],"training":[39,140],"IQP-QCBMs":[40],"using":[41],"Maximum":[42],"Mean":[43],"Discrepancy":[44],"(MMD)":[45],"losses":[46],"built":[47],"from":[48,80],"low-body":[49],"Pauli-$Z$":[50],"correlators,":[51],"but":[52],"the":[53,58,75,96,118,153],"effect":[54],"initialization":[56,112],"resulting":[59],"optimization":[60],"landscape":[61,78],"remains":[62],"poorly":[63],"understood.":[64],"In":[65],"this":[66,70],"work,":[67],"we":[68],"address":[69],"by":[71,138],"first":[72],"proving":[73],"that":[74,113],"MMD":[76],"loss":[77,97],"suffers":[79],"barren":[81],"plateaus":[82],"random":[84],"full-angle-range":[85],"initializations":[86],"circuits.":[89],"We":[90,106],"then":[91,107],"establish":[92],"lower":[93,156],"bounds":[94],"variance":[98,155],"identity":[100],"an":[102],"unbiased":[103],"data-agnostic":[104],"initialization.":[105],"additionally":[108],"consider":[109],"a":[110,133,151,162,169],"data-dependent":[111],"better":[115],"aligned":[116],"with":[117,143],"target":[119],"distribution":[120],"and,":[121],"under":[122],"suitable":[123],"assumptions,":[124],"yields":[125],"provable":[126],"gradients":[127],"generally":[129],"converges":[130],"quicker":[131],"to":[132,161],"good":[134],"minimum":[135],"(as":[136],"indicated":[137],"our":[139],"150":[144],"qubits":[145],"genomic":[147],"data).":[148],"Finally,":[149],"as":[150],"by-product,":[152],"developed":[154],"bound":[157],"framework":[158],"applicable":[160],"general":[163],"class":[164],"non-linear":[166],"losses,":[167],"offering":[168],"broader":[170],"toolset":[171],"analyzing":[173],"warm-starts":[174],"machine":[177],"learning.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}